ryul99

### Keybase proof

I hereby claim:

  * I am ryul99 on github.
  * I am ryul_99 (https://keybase.io/ryul_99) on keybase.
  * I have a public key ASB5_1TIxA35iojFpDcBd5QKuL6QN4Ry-pJ9fgJyb0mQBAo

To claim this, I am signing this object:

ryul99

Keybase proof

I hereby claim:

• I am ryul99 on github.
• I am ryul_99 (https://keybase.io/ryul_99) on keybase.
• I have a public key whose fingerprint is A18B E3FE DDCF D4F9 BC46 D696 C1C3 4851 BA8B 6E67

To claim this, I am signing this object:

ryul99

#!/bin/bash

# get docker container self and descendants pids
docker_container_pids=()
docker_container_descendants=()
for container_id in $(docker ps --format '{{.ID}}'); do
    a=$(docker inspect -f '{{.State.Pid}}' "$container_id")
    docker_container_pids+=( "$a" )
done
for pid in ${docker_container_pids[@]}; do

ryul99

# made by ryul99 at github

from bs4 import BeautifulSoup
import requests
from tqdm import tqdm

paper_index_page = 'whole url of NeaurIPS paper list page'
print('Crawling Paper List...')
req = requests.get(paper_index_page)
html = req.text

ryul99

import requests, sys
from tqdm import tqdm

def download_file(url, local_filename):
    # NOTE the stream=True parameter below
    with requests.get(url, stream=True) as r:
        r.raise_for_status()
        with open(local_filename, 'wb') as f:
            for chunk in tqdm(r.iter_content(chunk_size=8192)): 
                if chunk: # filter out keep-alive new chunks

ryul99

def get_lines(img_path): # return: [[left, top, right, bottom]...]
    img = cv2.imread(img_path)
    gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
    edges = cv2.Canny(gray,50,150,apertureSize = 3)
    minLineLength = 100
    maxLineGap = 10
    lines = cv2.HoughLinesP(edges,1,np.pi/180,100,minLineLength,maxLineGap)
    return lines

ryul99

# assemble images which is splited by split_image.py

import cv2
import glob
import os
import tqdm
import numpy as np
from itertools import islice
from multiprocessing import Pool

ryul99

import cv2
import glob
import os
import tqdm
from itertools import islice
from multiprocessing import Pool
import numpy as np
from pathlib import Path

path = r'/path/to/image/*.png'

ryul99

import cv2
import glob
import os
import tqdm
from itertools import islice
from multiprocessing import Pool
from pathlib import Path

path = r'./**/*.png'
resize_factor = (0.5, 0.5) # Width, Height

ryul99

import cv2
import glob
import os
import tqdm
from itertools import islice
from multiprocessing import Pool
from pathlib import Path

path = r'D:\Google Drive(SNU)\Study\Dataset\EDVR\Inference\dance_1080_120fs\dance_4k_60fps_downscaled\*.png'
img_size = [(1080, 2048,3)] # Width, Height